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Fisher kernel
Results: 53

#	Item
21	A Comparison on Score Spaces for Expression Microarray Data Classification Alessandro Perina1 , Pietro Lovato2 , Marco Cristani2,3 , and Manuele Bicego2 1 2 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Categorical data Probabilistic latent semantic analysis Statistical classification Fisher kernel Generative model Latent Dirichlet allocation Expectation–maximization algorithm Statistics Statistical natural language processing Machine learning
22	Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models Andr´e F.T. Martins3 , Manuele Bicego1,2, Vittorio Murino1,2 , Pedro M.Q. Aguiar4 , and M´ ario A.T. Figueiredo3 1 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Category theory Fisher kernel Information retrieval Markov models Hidden Markov model Generative model Kernel Pattern recognition Discriminative model Statistics Machine learning Statistical classification
23	2010 International Conference on Pattern Recognition 2D Shape Recognition using Information Theoretic Kernels Manuele Bicego∗† , Andr´e F. T. Martins‡ , Vittorio Murino∗† , Pedro M. Q. Aguiar§ , M´ario A. T Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Probability and statistics Kernel Support vector machine N-gram Tsallis entropy Fisher kernel K-nearest neighbor algorithm Statistics Mathematics Statistical classification
24	Learning Class-to-Image Distance with Object Matchings Guang-Tong Zhou, Tian Lan, Weilong Yang∗, and Greg Mori School of Computing Science, Simon Fraser University Burnaby, BC, Canada {gza11,tla58,wya16,mori}@cs.sfu.ca Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-09-06 18:14:20 Artificial intelligence Object recognition Fisher kernel Cosmic distance ladder Pose Color histogram Kuiper belt One-shot learning Computer vision Vision Imaging
25	LNCS[removed]Clustering-Based Construction of Hidden Markov Models for Generative Kernels Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:00:46 Fisher kernel Information retrieval Geostatistics Computational linguistics Pattern recognition Hidden Markov model Generative model Cluster analysis Generative Statistics Machine learning Statistical classification
26	Component-based discriminative classification for hidden Markov models Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:45 Markov models Linear classifier Hidden Markov model Perceptron Pattern recognition Feature scaling Support vector machine Speech recognition Fisher kernel Statistics Machine learning Statistical classification
27	Neurocomputing[removed]–59 Contents lists available at ScienceDirect Neurocomputing journal homepage: www.elsevier.com/locate/neucom Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:43:04 Mathematical analysis Bar Fisher kernel Tsallis entropy Tsallis statistics Thorn Support vector machine Rice distribution That Statistics Mathematics Statistical classification
28	Non-linear Generative Embeddings for Kernels on Latent Variable Models Anna Carli 1 , Manuele Bicego 1,2 , Sisto Baldo 1 , Vittorio Murino 1,2 1 Dept. of Computer Science, University of Verona, Strada le Grazie 15 – 37 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:16 Machine learning Fisher kernel Information retrieval Kernel Hidden Markov model Support vector machine Linear map Linux kernel Pattern recognition Statistics Statistical classification Mathematics
29	On-line Handwriting Recognition with Support Vector Machines--- A Kernel Approach Add to Reading List Source URL: lmb.informatik.uni-freiburg.de Language: English - Date: 2012-06-18 23:39:48 Statistical classification Support vector machines Kernel methods Fisher kernel Sequential minimal optimization Dynamic time warping Speech recognition Vector space Pattern recognition Machine learning Statistics Algebra
30	Machine Learning, 46, 161–190, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Training Invariant Support Vector Machines DENNIS DECOSTE Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-02-01 17:05:02 Statistical classification Linear algebra Support vector machine Signal processing Fisher kernel Positive-definite kernel Kernel Linux kernel Vector space Algebra Statistics Machine learning

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